Research on control strategy of permanent magnet direct drive Wind Power Generation System

Wang, Junrui; Wang, Libao; Bai, Bingchao; Li, Dai; Qiao, Xuanjing; Zhao, Dongqi

doi:10.1109/pemc51159.2022.9962866

Cited by 1 publication

(1 citation statement)

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“…Reference [11] introduced the frequency change rate to change the weighting coefficient of adaptive model predictive control, which inhibited the large frequency fluctuation when the island switched to the gridconnected mode. References [12][13] applied fuzzy control to VSG control, utilizing fuzzy control for real-time adjustment of the rotational inertia, where J is set to the optimal value to enhance the frequency stability of the system under islanding mode, fully utilizing the regulatory capability of the swing equation. The optimal rated power of the VSG was corrected using MPC method, further strengthening the support of energy storage units for power demand.…”

Section: Introductionmentioning

confidence: 99%

VSG Frequency Regulation Strategy for Adaptive Model Predictive Control

Sun,

Liu,

Deng

2024

IJMEE

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When the active power of a Virtual Synchronous Generator (VSG) is unbalanced, the frequency will fluctuate significantly. Based on this, this article proposes an adaptive model predictive control method. By introducing a hyperbolic tangent function to construct an adaptive moment of inertia that includes frequency change and frequency change rate to provide the inertia for the island microgrid system, and the predicted model is updated in real-time; At the same time, model predictive control is used to calculate the optimal power reference value of VSG, strengthening the power support of VSG. The results indicate that under joint control improves the frequency regulation capability of VSG units and further enhances the system frequency performance, and the frequency deviation reduces from 0.15Hz to 0.05Hz, and the frequency change rate reduces from 0.58Hz/s to 0.5Hz/s. It is proved that the proposed control strategy can effectively suppress the maximum frequency offset and maximum frequency change rate during power fluctuations.

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Section: Introductionmentioning

confidence: 99%